Evidence map›Paper›PMID 29867026›Full record

ReviewInternational journal of molecular sciences2018

The Pattern of Signatures in Gastric Cancer Prognosis.

Julita Machlowska, Ryszard Maciejewski, Robert Sitarz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Tumor vessel normalization and immunotherapy in gastric cancer.Therapeutic advances in medical oncology · 2022
    Review
  18. Ferroptosis and its Role in Gastric Cancer.Frontiers in cell and developmental biology · 2022
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Julita MachlowskaDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland. julita.machlowska@gmail.com.
Ryszard MaciejewskiDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland. maciejewski.r@gmail.com.
Robert SitarzDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland. r.sitarz@umlub.pl.ORCID 0000-0001-7267-9516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most common malignancies worldwide and it is a fourth leading cause of cancer-related death. Carcinogenesis is a multistage disease process specified by the gradual procurement of mutations and epigenetic alterations in the expression of different genes, which finally lead to the occurrence of a malignancy. These genes have diversified roles regarding cancer development. Intracellular pathways are assigned to the expression of different genes, signal transduction, cell-cycle supervision, genomic stability, DNA repair, and cell-fate destination, like apoptosis, senescence. Extracellular pathways embrace tumour invasion, metastasis, angiogenesis. Altered expression patterns, leading the different clinical responses. This review highlights the list of molecular biomarkers that can be used for prognostic purposes and provide information on the likely outcome of the cancer disease in an untreated individual.

Indexed as

Biomarkers, TumorApoptosisCell CycleCell DifferentiationDNA RepairFemaleHumansMaleNeovascularization, PathologicPrognosisSignal TransductionStomach NeoplasmsBiomarkers, Tumorapoptosiscell cycle regulatorsgastric cancerHER2invasivenessmicrosatellite instabilitymucinsmultidrug resistance proteinsneovascularizationperitoneal spreading

Identifiers

PMID29867026
PMCPMC6032410

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.